python中word cloud库异型词云图代码

以下是一个简单的Python代码示例，使用WordCloud库生成异型词云图：

from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image

# 读取文本文件
text = open('your_text_file.txt', 'r').read()

# 读取图像文件
mask = np.array(Image.open('your_image_file.png'))

# 设置停用词列表
stopwords = set(STOPWORDS)
stopwords.update(["said", "will", "one", "now", "well", "man", "may", "us", "much", "say", "yet", "make"])

# 设置WordCloud对象
wc = WordCloud(background_color="white", max_words=2000, mask=mask, stopwords=stopwords, contour_width=3, contour_color='steelblue')

# 生成词云图
wc.generate(text)

# 提取图像颜色
image_colors = ImageColorGenerator(mask)

# 显示词云图
plt.imshow(wc.recolor(color_func=image_colors), interpolation="bilinear")
plt.axis('off')
plt.show()

需要注意的是，上述代码需要先安装相关库，比如wordcloud、matplotlib、numpy和Pillow。